Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, IN

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, IN
Series ID MHICILBIN18095A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:13 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 25023
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28951
1994-01-01 .
1995-01-01 30900
1996-01-01 .
1997-01-01 32962
1998-01-01 34018
1999-01-01 35252
2000-01-01 36850
2001-01-01 36248
2002-01-01 36398
2003-01-01 37167
2004-01-01 38058
2005-01-01 38515
2006-01-01 39611
2007-01-01 40833
2008-01-01 42248
2009-01-01 40064
2010-01-01 37583
2011-01-01 39144
2012-01-01 40769
2013-01-01 39439
2014-01-01 42688
2015-01-01 43066
2016-01-01 42780
2017-01-01 41520
2018-01-01 46902
2019-01-01 50801
2020-01-01 48598
2021-01-01 50796
2022-01-01 55870
2023-01-01 58394

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